HP HP EliteBook 8 G1a 16 inch Notebook Next Gen AI PC
Geekbench AI Score
2166
Single Precision Score
2007
Half Precision Score
6171
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | wowen |
| Upload Date | September 22 2025 03:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook 8 G1a 16 inch Notebook Next Gen AI PC |
| Motherboard | HP 8E17 |
| Power Plan | Segal Dragonfly Balanced Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1028
191.1 IPS |
|
|
Image Classification (HP)
|
100% |
1183
220.0 IPS |
|
|
Image Classification (Q)
|
100% |
4057
754.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1457
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3541
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3510
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
3285
3.83 IPS |
|
|
Pose Estimation (Q)
|
98% |
13328
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1461
115.9 IPS |
|
|
Object Detection (HP)
|
100% |
1775
140.8 IPS |
|
|
Object Detection (Q)
|
88% |
4785
383.6 IPS |
|
|
Face Detection (SP)
|
100% |
3819
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
2690
32.0 IPS |
|
|
Face Detection (Q)
|
100% |
9772
116.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2967
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2919
22.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
7656
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5971
7.68 IPS |
|
|
Style Transfer (HP)
|
100% |
5773
7.42 IPS |
|
|
Style Transfer (Q)
|
98% |
22254
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1153
42.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1137
42.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4831
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
1465
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1063
1.42 KIPS |
|
|
Text Classification (Q)
|
92% |
3522
4.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2599
44.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2187
37.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3089
53.2 IPS |
